Multi-objective optimization of methyl acetate hydrolysis process based on NSGA - II algorithm

Yin Junhua; Bo Cuimei; Li Jun; Huang Yan

doi:10.1109/CCDC.2018.8407249

Multi-objective optimization of methyl acetate hydrolysis process based on NSGA - II algorithm

Yin Junhua, Bo Cuimei, Li Jun, Huang Yan

COLLEGE OF ELECTRICAL ENGINEERING AND CONTROL SCIENCE

Nanjing Tech University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

An enhanced non-dominated sorting genetic algorithm (NSGA-II) was applied to carry out the integer optimized design in this article. The steady simulation design was established based on the reaction kinetics analysis using Aspen Plus, and the feasible region of each optimized variable was calculated through sensitive analysis. Aiming at the total cost TAC as the objective function, the NSGA-II algorithm was used directly to obtain the Pareto optimal solutions under the constraints of feasible region of variables. The simulation results showed that the NSGA-II algorithm can effectively reduce the total cost of TAC.

Original language	English
Title of host publication	Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	851-857
Number of pages	7
ISBN (Electronic)	9781538612439
DOIs	https://doi.org/10.1109/CCDC.2018.8407249
State	Published - 6 Jul 2018
Event	30th Chinese Control and Decision Conference, CCDC 2018 - Shenyang, China Duration: 9 Jun 2018 → 11 Jun 2018

Publication series

Name	Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018

Conference

Conference	30th Chinese Control and Decision Conference, CCDC 2018
Country/Territory	China
City	Shenyang
Period	9/06/18 → 11/06/18

Keywords

Economic optimization
Hydrolysis of methyl acetate
NSGA-II optimization
Steady-state simulation

Access to Document

10.1109/CCDC.2018.8407249

Cite this

Junhua, Y., Cuimei, B., Jun, L., & Yan, H. (2018). Multi-objective optimization of methyl acetate hydrolysis process based on NSGA - II algorithm. In Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018 (pp. 851-857). (Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCDC.2018.8407249

@inproceedings{893cbaf7a65d4b85be94d7d9842e7504,

title = "Multi-objective optimization of methyl acetate hydrolysis process based on NSGA - II algorithm",

abstract = "An enhanced non-dominated sorting genetic algorithm (NSGA-II) was applied to carry out the integer optimized design in this article. The steady simulation design was established based on the reaction kinetics analysis using Aspen Plus, and the feasible region of each optimized variable was calculated through sensitive analysis. Aiming at the total cost TAC as the objective function, the NSGA-II algorithm was used directly to obtain the Pareto optimal solutions under the constraints of feasible region of variables. The simulation results showed that the NSGA-II algorithm can effectively reduce the total cost of TAC.",

keywords = "Economic optimization, Hydrolysis of methyl acetate, NSGA-II optimization, Steady-state simulation",

author = "Yin Junhua and Bo Cuimei and Li Jun and Huang Yan",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 30th Chinese Control and Decision Conference, CCDC 2018 ; Conference date: 09-06-2018 Through 11-06-2018",

year = "2018",

month = jul,

day = "6",

doi = "10.1109/CCDC.2018.8407249",

language = "英语",

series = "Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "851--857",

booktitle = "Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018",

address = "美国",

}

Junhua, Y, Cuimei, B, Jun, L & Yan, H 2018, Multi-objective optimization of methyl acetate hydrolysis process based on NSGA - II algorithm. in Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018. Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018, Institute of Electrical and Electronics Engineers Inc., pp. 851-857, 30th Chinese Control and Decision Conference, CCDC 2018, Shenyang, China, 9/06/18. https://doi.org/10.1109/CCDC.2018.8407249

Multi-objective optimization of methyl acetate hydrolysis process based on NSGA - II algorithm. / Junhua, Yin; Cuimei, Bo; Jun, Li et al.
Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 851-857 (Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Multi-objective optimization of methyl acetate hydrolysis process based on NSGA - II algorithm

AU - Junhua, Yin

AU - Cuimei, Bo

AU - Jun, Li

AU - Yan, Huang

PY - 2018/7/6

Y1 - 2018/7/6

N2 - An enhanced non-dominated sorting genetic algorithm (NSGA-II) was applied to carry out the integer optimized design in this article. The steady simulation design was established based on the reaction kinetics analysis using Aspen Plus, and the feasible region of each optimized variable was calculated through sensitive analysis. Aiming at the total cost TAC as the objective function, the NSGA-II algorithm was used directly to obtain the Pareto optimal solutions under the constraints of feasible region of variables. The simulation results showed that the NSGA-II algorithm can effectively reduce the total cost of TAC.

AB - An enhanced non-dominated sorting genetic algorithm (NSGA-II) was applied to carry out the integer optimized design in this article. The steady simulation design was established based on the reaction kinetics analysis using Aspen Plus, and the feasible region of each optimized variable was calculated through sensitive analysis. Aiming at the total cost TAC as the objective function, the NSGA-II algorithm was used directly to obtain the Pareto optimal solutions under the constraints of feasible region of variables. The simulation results showed that the NSGA-II algorithm can effectively reduce the total cost of TAC.

KW - Economic optimization

KW - Hydrolysis of methyl acetate

KW - NSGA-II optimization

KW - Steady-state simulation

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DO - 10.1109/CCDC.2018.8407249

M3 - 会议稿件

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T3 - Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018

SP - 851

EP - 857

BT - Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 30th Chinese Control and Decision Conference, CCDC 2018

Y2 - 9 June 2018 through 11 June 2018

ER -

Junhua Y, Cuimei B, Jun L, Yan H. Multi-objective optimization of methyl acetate hydrolysis process based on NSGA - II algorithm. In Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 851-857. (Proceedings of the 30th Chinese Control and Decision Conference, CCDC 2018). doi: 10.1109/CCDC.2018.8407249

Multi-objective optimization of methyl acetate hydrolysis process based on NSGA - II algorithm

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